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MLPF: Efficient machine-learned particle-flow reconstruction using graph
  neural networks

MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks

21 January 2021
J. Pata
Javier Mauricio Duarte
J. Vlimant
M. Pierini
M. Spiropulu
ArXivPDFHTML

Papers citing "MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks"

9 / 9 papers shown
Title
Model Performance Prediction for Hyperparameter Optimization of Deep
  Learning Models Using High Performance Computing and Quantum Annealing
Model Performance Prediction for Hyperparameter Optimization of Deep Learning Models Using High Performance Computing and Quantum Annealing
Juan Pablo García Amboage
Eric Wulff
M. Girone
Tomás F. Pena
13
2
0
29 Nov 2023
Graph Structure from Point Clouds: Geometric Attention is All You Need
Graph Structure from Point Clouds: Geometric Attention is All You Need
D. Murnane
GNN
3DPC
4
4
0
31 Jul 2023
Hyperparameter optimization, quantum-assisted model performance
  prediction, and benchmarking of AI-based High Energy Physics workloads using
  HPC
Hyperparameter optimization, quantum-assisted model performance prediction, and benchmarking of AI-based High Energy Physics workloads using HPC
Eric Wulff
M. Girone
D. Southwick
Juan Pablo García Amboage
Eduard Cuba
11
1
0
27 Mar 2023
Data Science and Machine Learning in Education
Data Science and Machine Learning in Education
G. Benelli
Thomas Y. Chen
Javier Mauricio Duarte
Matthew Feickert
Matthew Graham
...
K. Terao
S. Thais
A. Roy
J. Vlimant
G. Chachamis
AI4CE
15
5
0
19 Jul 2022
End-to-end multi-particle reconstruction in high occupancy imaging
  calorimeters with graph neural networks
End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks
S. Qasim
N. Chernyavskaya
J. Kieseler
K. Long
O. Viazlo
M. Pierini
R. Nawaz
8
23
0
04 Apr 2022
Graph Neural Networks for Charged Particle Tracking on FPGAs
Graph Neural Networks for Charged Particle Tracking on FPGAs
Abdelrahman Elabd
Vesal Razavimaleki
Shih-Yu Huang
Javier Mauricio Duarte
M. Atkinson
...
Bo-Cheng Lai
Mark S. Neubauer
I. Ojalvo
S. Thais
Matthew Trahms
GNN
22
35
0
03 Dec 2021
Towards a Computer Vision Particle Flow
Towards a Computer Vision Particle Flow
F. Bello
S. Ganguly
Eilam Gross
Marumi Kado
M. Pitt
Lorenzo Santi
Jonathan Shlomi
75
49
0
19 Mar 2020
Fast inference of deep neural networks in FPGAs for particle physics
Fast inference of deep neural networks in FPGAs for particle physics
Javier Mauricio Duarte
Song Han
Philip C. Harris
S. Jindariani
E. Kreinar
...
J. Ngadiuba
M. Pierini
R. Rivera
N. Tran
Zhenbin Wu
AI4CE
75
385
0
16 Apr 2018
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
255
1,394
0
01 Dec 2016
1